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United States Geothermal Direct-Use Database 2025 Update

Oct 14, 2024
1.07 MB
Publicly accessible
This database of geothermal direct-use systems in the U.S. was updated as part of the Geothermal Market Report from the National Renewable Energy Laboratory (NREL). Types of direct-use applications include hot springs resorts and pools, aquaculture farms, greenhouses, and district...
Authors
Akindipe, D. and Pauling, H. National Renewable Energy Laboratory
geothermalenergydirect-usethermal applicationsinstallationsmarketunited statesgeothermal direct-usegeothermal heatingdistrict heatinggeothermal wellssite attributestemperature dataflow rategeothermal capacityoperational statusdatabasegeothermal market reportlocationinstallation costoperation costgeothermal resourcesprocessed data

U.S. Geothermal District Heating and Cooling Systems Data

Nov 02, 2020
306.29 kB
Publicly accessible
This dataset contains detailed information on geothermal district heating and cooling systems across the United States, including geothermal direct use-based district heating systems and geothermal heat pump (GHP)-based district heating and cooling systems. The direct use-based ...
Authors
Kolker, A. et al National Renewable Energy Laboratory
geothermalenergydistrict heatdirect usegeothermal district heatinggeothermal energyrenewable heating systemsgeothermal system costsinfrastructurethermal energy networkoperational dataeconomicsproject statusdistrict energyprocessed datageothermal heat pumpsghpdistrict heating and cooling

Hourly Thermal Load Profiles for U.S. Manufacturing Subsectors

Apr 24, 2026
3.92 MB
Publicly accessible
This dataset includes a consistent framework of annual, quarterly, and hourly energy demand and operational profiles for 63 U.S. manufacturing subsectors defined by NAICS classification, building on the county-level demand dataset "Updated U.S. Low-Temperature Heating and Cooling ...
Authors
Oh, H. et al National Laboratory of the Rockies
geothermalenergythermal energy demandindustrial energy demandmanufacturingu.s. manufacturingnaicseia mecsqpchourly load profilesoperating schedulescapacity utilizationprocess heatingprocess coolingrefrigerationboiler usefacility heatingfacility coolingend-use energyfuel typeprocessed data

End Use Load Profile (EULP) of US Building Sector resulting from mass GHP retrofits

Apr 15, 2023
239.96 MB
Publicly accessible
This collection of datasets describes the change (difference) in hourly energy consumption of the U.S. residential and commercial building stock while replacing existing HVAC systems with ground source heat pumps for all the balancing areas in the US, for all buildings eligible fo...
Authors
Liu, X. et al Oak Ridge National Laboratory
geothermalenergyeulpbuildingresidentialcommercialnationwideheat pumpghpend use load profiletechnicalassessmentlong-termprocessed data

Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico

Sep 08, 2026
1.56 MB
Publicly accessible
This dataset provides the numerical source data underlying selected figures in an associated study of cooling system performance for college buildings at the University of Puerto Rico at Rio Piedras. The data include modeled cooling demand, ground heat exchanger temperatures and t...
Authors
Oh, H. et al National Laboratory of the Rockies
geothermalenergyheating and coolingcooling loadsload profilepuerto ricogeothermal heat exchangeropen-loop heat exchangerground heat exchangercold utesgeotessutraenergyplusmodeled databuilding coolingcooling loadchiller performancecopcoefficient of performanceelectricity consumptioncooling towerwater consumptionbuilding energy modelingsimulation dataprocessed data

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

May 05, 2021
11.59 GB
Publicly accessible
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Authors
Zhu, T. Pennsylvania State University
geothermalenergycodedeep learningmachine learningaiartificial intelligenceegsenhanced geothermal systemsengineered geothermal systemsnewberryoregonnewberry volcanomlraw dataprocessed datamicroseismicitynumpywaveformpreprocessedpythonnewberry volcanic sitemicroearthquakemeqseismicgeophysicsgeophysical

Utah FORGE: Well 16A(78)-32 Hydraulic Fracturing Stage 8 Crosswell Strain FDI and Microseismic Presentations April 2024

Nov 07, 2024
96 MB
Publicly accessible
This is a pair of PowerPoint presentations from Neubrex Energy Services (US), LLC. The presentations review work done in April 2024 on crosswell strain fracture driven interactions (FDI) and microseismic event monitoring during hydraulic fracturing in stage 8 of Utah FORGE well 16...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergywell 16a16acrosswell strainfdimicroseismicneubrexstrainstrain raterfs strain16bfar field strainfracture driven interactionsstage 8utah forgeegsprocessed datatechnical reportcrosswellhydraulic fracturingstimulation16a78-3216b78-32fiber optic sensingdistributed strain sensingdssgeophysics

Analyzed Boise Data for Oscillatory Hydraulic Tomography

Jul 01, 2015
4.76 MB
Publicly accessible
Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...
Authors
Lim, D. University of Wisconsin
geothermaloscillatory pumpingboisehydraulic tomographyfourier analysisidahoporotomobhrsanalyzedmatlabhydrogeophysicalpressure datapressurewell testwellhydrologyoscillatory flowaquifer characterizationreservoir characterizationpressure testfouriercoefficientsprocessed datapre-processed data

Utah FORGE: Stimulation Crosswell Strain Response Fiber Optic Monitoring Report April 2024

Apr 03, 2024
6.43 MB
Publicly accessible
This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergystrainmicro seismicdtsdssrfs dsshydraulic fracturingfault reactivationfracture driven interactionfdifrac hitsdistributed temperature sensingdistributed strain sensingprocessed datareportutah forgeneubrexcrosswellfiber optic monitoringgeophysicsstimulation

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython

Utah FORGE: Discrete Fracture Network (DFN) Model (2025 v1) 3D Visualization Via the Seequent Central Public Viewer

Jan 08, 2026
664.3 kB
Publicly accessible
Visualize the Utah FORGE DFN model in three-dimensional space using the Seequent Central public viewer. 131 discrete planar fractures have been interpreted by Aleta Finnila (https://gdr.openei.org/submissions/1750) from various data sets obtained during the 2022 and 2024 stimulati...
Authors
Jones, C. and Finnila, A. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture networksequent3d dfnfracture model3d fracture modelsequent central public viewer3d visualizationprocessed datahydraulic stimulationmicroseismic datafracture interpretation16a78-3216b78-32planar fracturesmodelvisualizationgeophysicsgeomechanics

Utah FORGE: Phase 3 Microgravity Data

Oct 07, 2020
17.52 kB
Publicly accessible
A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are underta...
Authors
Hardwick, C. Utah Geological Survey
geothermalenergyutah forgeforge microgravitymicrogravityutah geothermalegsroosevelt hot springsmilfordgpsprocessed datageophysics

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Publicly accessible
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Authors
Buster, G. et al Upflow
geothermalenergymachine learningoptimizationoperationssynthetic datapower plantbig kahunagoomlgenetic optimizationforecastinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsneural networkdataprocessed datacodepythonsimulationmodel

Value of Information App Webinar Recording

Sep 28, 2026
840.61 MB
Curated
This recorded webinar provides background on the Value of Information (VOI) App and demonstrates how to use the application. The webinar walks through a public example dataset and includes slides and screen sharing to introduce decision analysis, the VOI metric, and the app workfl...
Authors
Trainor-Guitton, W. and Menon, K. National Laboratory of the Rockies
geothermalenergydecision sciencebayesian statisticslabeled dataingeniousgeophiresvalue of informationvoidecision supportdecision analysisgeophysical datageothermal explorationprocessed dataweb appwebinarpresentation recording

Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations

Apr 01, 2024
35.23 TB
Publicly accessible
This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the April 2024 stimulation experiments at the Utah FORGE site. DAS data were acquired from well 16B(78)-32 by Neubrex and processed by GeoEnergie Suisse (GES), covering the period ...
Authors
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsdasdistributed acoustic sensingseismictriggered eventsgeophonesdownholedownhole seismicneubrexgeoenergie suissegesaprill 2024stimulationhydraulic fracturingcountinuous dataraw dataprocessed datageophysics58-3216b78-3256-32monitoring well

Utah FORGE: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment

Jun 30, 2026
736.6 MB
Publicly accessible
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
Authors
Kim, J. et al Rice University
geothermalenergyegsutah forgeforgemicroseismichydraulic stimulationfoal 1forge observation array linear16a32-32april 2022microseismicityinduced seismicitypassive seismic monitoringsurface nodal array3-component seismic datasmartsolominiseedstationxmlevent catalogwell trajectoryfogmoregeophysicsseismic dataprocessed data

Model results and data for Nontechnical Barriers to Geothermal Development

Jul 25, 2022
73.96 kB
Publicly accessible
Data included in this submission support the analysis conducted for the report "Nontechnical Barriers to Geothermal Development" which is linked bellow. These data include information about the power purchase agreements (PPAs) analyzed for the report, inputs and model results for ...
Authors
Rabinowitz, H. et al Pacific Northwest National Laboratory
geothermalenergyppapro formanontechnical barriersexcelprocessed dataostipower purchase agreementfeasibilityeconomiccostregression analysisassessmentu.s. department of energy office of scientific and technical informationelectricitypower production

Utah FORGE: Well 16A(78)-32 Simplified Discrete Fracture Network Data

Jun 01, 2021
525.86 MB
Publicly accessible
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Authors
Finnila, A. Golder Associates Inc.
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsdfndiscrete fracture networkwell 16a78-32utahenhanced geothermal systemengineered geothermal systemfracmanroosevelt hot springsroosevelt hot springs geothermal sitemilfordprocessed datacsvwelldrillingstimulationpressuremodelmodeling

Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
179.02 GB
Publicly accessible
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasebrady hot springsbradyartificial intelligenceaibrady wellseismicremote sensinghyperspectralgeospatial databasedeep learningmachine learningexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datanevadaarcgismodeldatabasehydrothermalgeophysicsradargisblindblind systemdeformationgeophysicalhyperspectral imagingconceptual modelfaultpreprocessedrastervectorfield datageospatial data

Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
59.5 GB
Publicly accessible
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasenevadadesert peakartificial intelligenceairaw dataprocessed dataremote sensinghyperspectralmachine learningdeep learningexplorationarcgismodelsite detectionanomaly detectiongeothermal site detectiondatabasehydrothermalgeophysicsradarshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellgisblindblind systemhyperspectral imaginggeophysicaldeformationconceptual modelfaultpreprocessedgeospatial data

Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
148.82 GB
Publicly accessible
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasesalton seaartificial intelligenceaideep learningmachine learningseismicremote sensinghyperspectralhyperspectral imaginggeospacial databaseexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datacaliforniaarcgisgismodeldatabasehydrothermalgeophysicsradarblindblind systemdeformationgeophysicalconceptual model faultpreprocessedrastervectorfield datageospatial data

Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

Feb 07, 2023
Size unavailable
Publicly accessible
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
Authors
Mordensky, S. et al United States Geological Survey
geothermalenergypfahydrothermalenergy assessmentresource assessmentretrospectivemachine learninggeosciencewestern usdata-drivenbias reductionfavorabilitymappingegslow tempprocessed dataresourcecharacterization

Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)

May 23, 2019
413.08 kB
Publicly accessible
This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Authors
Johnston, H. and Young, D. National Renewable Energy Laboratory
geothermalenergyenergy storagenatural gasunconventional shalegeocaesmodelwellgeothermal energy storagegeothermal reservoirsurface plantfeasibilitytechnologytestechnicaltechnical assesmentcodeprocessed data

SMP and Fracture Modeling

Oct 01, 2021
8.59 MB
Publicly accessible
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Authors
Salehi, S. et al University of Oklahoma
geothermalenergylost circulationfracture sealingshape memory polymerdiscrete element methodsmodelingeconomicdrillingtechnologylost circulation materiallcmsmpprocessed datacfdcomputational fluid dynamicsdem

SMP Preparation, Programming, and Characterization

Oct 01, 2021
1.04 MB
Publicly accessible
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Authors
Salehi, S. et al University of Oklahoma
geothermalenergylost circulationfracture sealingshape memory polymerdiscrete element methodsmodelingeconomicdrillingtechnologylost circulation materiallcmsmpprocessed datacfdcomputational fluid dynamicsdem
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